World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
9272
World Ranking
8263
National Ranking
115

Arnau Oliver publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Arnau Oliver sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 163 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Arnau Oliver D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Arnau Oliver sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Arnau Oliver is affiliated with the University of Girona in Spain and has contributed extensively to research at the intersection of medicine and computer science. Their work focuses primarily on medical imaging applications related to neurological conditions and image segmentation techniques.

The researcher's publications highlight their involvement in advancing imaging-based diagnostics and analysis, particularly through the application of deep learning and other computational methods. Recent papers include:

  • Improving the detection of autism spectrum disorder by combining structural and functional MRI information (2020, NeuroImage Clinical)
  • Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks (2021, Computerized Medical Imaging and Graphics)
  • QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results (2022, The Journal of Machine Learning for Biomedical Imaging)
  • Deciphering multiple sclerosis disability with deep learning attention maps on clinical MRI (2023, NeuroImage Clinical)
  • Improving the detection of new lesions in multiple sclerosis with a cascaded 3D fully convolutional neural network approach (2022, Frontiers in Neuroscience)

Arnau Oliver collaborates frequently with colleagues such as Xavier Lladó, Albert Clèrigues, Sergi Valverde, Àlex Rovira, and Joaquím Salví. These partnerships span across various research outputs and contribute to the development of computational methods for medical image analysis.

Their work appears regularly in publication venues including:

  • Computerized Medical Imaging and Graphics (4 publications)
  • NeuroImage Clinical (3 publications)
  • Frontiers in Neuroscience (3 publications)
  • Journal of Magnetic Resonance Imaging (2 publications)
  • arXiv (Cornell University) (2 publications)

Arnau Oliver's expertise covers several main fields of study:

  • Medicine
  • Computer Science

More specific subfields within these domains include:

  • Neurology
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Epidemiology
  • Pathology and Forensic Medicine

Their main research topics focus on:

  • Brain Tumor Detection and Classification
  • Acute Ischemic Stroke Management
  • Medical Image Segmentation Techniques
  • Multiple Sclerosis Research Studies
  • Advanced Neuroimaging Techniques and Applications
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Cell Image Analysis Techniques

Best Publications

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review.

    Jose Bernal;Kaisar Kushibar;Daniel S. Asfaw;Sergi Valverde

  • A review of atlas-based segmentation for magnetic resonance brain images

    Mariano Cabezas;Arnau Oliver;Xavier Lladó;Jordi Freixenet

  • A review of automatic mass detection and segmentation in mammographic images.

    Arnau Oliver;Jordi Freixenet;Joan Martí;Elsa Pérez

  • Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach.

    Sergi Valverde;Mariano Cabezas;Eloy Roura;Sandra González-Villà

  • A Novel Breast Tissue Density Classification Methodology

    A. Oliver;J. Freixenet;R. Marti;J. Pont

  • Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches

    Xavier Lladó;Arnau Oliver;Mariano Cabezas;Jordi Freixenet

  • A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images

    Soumya Ghose;Arnau Oliver;Robert Martí;Xavier Lladó

  • Breast segmentation with pectoral muscle suppression on digital mammograms

    David Raba;Arnau Oliver;Joan Martí;Marta Peracaula

  • One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks

    Sergi Valverde;Mostafa Salem;Mariano Cabezas;Deborah Pareto

  • False positive reduction in mammographic mass detection using local binary patterns

    Arnau Oliver;Xavier Lladó;Jordi Freixenet;Joan Martí

  • A review on brain structures segmentation in magnetic resonance imaging

    Sandra Gonzlez-Vill;Arnau Oliver;Sergi Valverde;Liping Wang

  • Automatic microcalcification and cluster detection for digital and digitised mammograms

    Arnau Oliver;Albert Torrent;Xavier Lladó;Meritxell Tortajada

  • Improving the detection of autism spectrum disorder by combining structural and functional MRI information

    Mladen Rakić;Mariano Cabezas;Kaisar Kushibar;Arnau Oliver

  • Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features.

    Kaisar Kushibar;Sergi Valverde;Sandra González-Villà;Jose Bernal

  • Modeling and Classifying Breast Tissue Density in Mammograms

    A. Bosch;X. Munoz;A. Oliver;J. Marti

  • A textural approach for mass false positive reduction in mammography.

    Xavier Lladó;Arnau Oliver;Jordi Freixenet;Robert Marti

  • A toolbox for multiple sclerosis lesion segmentation

    Eloy Roura;Arnau Oliver;Mariano Cabezas;Sergi Valverde

  • Automated detection of multiple sclerosis lesions in serial brain MRI

    Xavier Lladó;Onur Ganiler;Arnau Oliver;Robert Martí

  • Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks.

    Albert Clèrigues;Sergi Valverde;Jose Bernal;Jordi Freixenet

  • Comparison of 10 brain tissue segmentation methods using revisited IBSR annotations

    Sergi Valverde;Arnau Oliver;Mariano Cabezas;Eloy Roura

  • Topological Modeling and Classification of Mammographic Microcalcification Clusters

    Zhili Chen;Harry Strange;Arnau Oliver;Erika R. E. Denton

Frequent Co-Authors

Xavier Lladó
Xavier Lladó University of Girona
Jordi Freixenet
Jordi Freixenet University of Girona
Fabrice Meriaudeau
Fabrice Meriaudeau University of Franche-Comté
Reyer Zwiggelaar
Reyer Zwiggelaar Aberystwyth University
Alex Rovira
Alex Rovira Autonomous University of Barcelona
Joaquim Salvi
Joaquim Salvi University of Girona
Yuankai Huo
Yuankai Huo Vanderbilt University
Xavier Montalban
Xavier Montalban Autonomous University of Barcelona
Bennett A. Landman
Bennett A. Landman Vanderbilt University
Tom Vercauteren
Tom Vercauteren King's College London

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